tunnel-client
Enables secure exposure of private MCP servers to Claude and OpenAI APIs without public internet vulnerability, reducing deployment complexity and security r…
Customer-run client for Secure MCP Tunnel: connect private or localhost MCP servers to ChatGPT, Codex, the Responses API, and AgentKit without exposing them to the public internet.
- Connect your local development MCP server to Claude without publishing it publicly.
- Expose a private internal MCP service to ChatGPT while keeping it off the internet.
- Enable Claude API access to localhost-based code tools and services securely.
Enables secure exposure of private MCP servers to Claude and OpenAI APIs without public internet vulnerability, reducing deployment complexity and security risk for teams running local or internal development infrastructure.
Engineering teams operating private MCP servers needing secure API access without public deployment or infrastructure changes.
https://github.com/openai/tunnel-client
By openai
How to Get It
claude plugins install openai/tunnel-client
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me connect my local development MCP server to Claude without publishing it publicly
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 221 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 221 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.